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Understanding image representations by measuring their equivariance and
  equivalence
v1v2 (latest)

Understanding image representations by measuring their equivariance and equivalence

21 November 2014
Karel Lenc
Andrea Vedaldi
    SSLFAtt
ArXiv (abs)PDFHTML

Papers citing "Understanding image representations by measuring their equivariance and equivalence"

50 / 260 papers shown
Title
$\mathcal{G}$-softmax: Improving Intra-class Compactness and Inter-class
  Separability of Features
G\mathcal{G}G-softmax: Improving Intra-class Compactness and Inter-class Separability of Features
Yan Luo
Yongkang Wong
Mohan Kankanhalli
Qi Zhao
84
37
0
08 Apr 2019
Image Disentanglement and Uncooperative Re-Entanglement for
  High-Fidelity Image-to-Image Translation
Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation
Adam W. Harley
S. Wei
Jason M. Saragih
Katerina Fragkiadaki
36
5
0
11 Jan 2019
Challenging Common Assumptions in the Unsupervised Learning of
  Disentangled Representations
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello
Stefan Bauer
Mario Lucic
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
OOD
178
1,475
0
29 Nov 2018
The Effect of Learning Strategy versus Inherent Architecture Properties
  on the Ability of Convolutional Neural Networks to Develop Transformation
  Invariance
The Effect of Learning Strategy versus Inherent Architecture Properties on the Ability of Convolutional Neural Networks to Develop Transformation Invariance
Megha Srivastava
K. Grill-Spector
AAMLOOD
15
7
0
31 Oct 2018
Learning Compressed Transforms with Low Displacement Rank
Learning Compressed Transforms with Low Displacement Rank
Anna T. Thomas
Albert Gu
Tri Dao
Atri Rudra
Christopher Ré
101
40
0
04 Oct 2018
Déjà Vu: an empirical evaluation of the memorization properties of
  ConvNets
Déjà Vu: an empirical evaluation of the memorization properties of ConvNets
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Hervé Jégou
49
18
0
17 Sep 2018
DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model
  for Object Tracking
DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking
Mohamed H. Abdelpakey
M. Shehata
Mostafa M. Mohamed
47
43
0
07 Sep 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjDVLMOOD
240
2,469
0
06 Sep 2018
Discriminative Learning of Similarity and Group Equivariant
  Representations
Discriminative Learning of Similarity and Group Equivariant Representations
Shubhendu Trivedi
41
1
0
30 Aug 2018
Rotation Equivariant CNNs for Digital Pathology
Rotation Equivariant CNNs for Digital Pathology
Bastiaan S. Veeling
J. Linmans
Jim Winkens
Taco S. Cohen
Max Welling
125
586
0
08 Jun 2018
Why do deep convolutional networks generalize so poorly to small image
  transformations?
Why do deep convolutional networks generalize so poorly to small image transformations?
Aharon Azulay
Yair Weiss
108
563
0
30 May 2018
Pooling is neither necessary nor sufficient for appropriate deformation
  stability in CNNs
Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs
Avraham Ruderman
Neil C. Rabinowitz
Ari S. Morcos
Daniel Zoran
102
41
0
12 Apr 2018
Land cover mapping at very high resolution with rotation equivariant
  CNNs: towards small yet accurate models
Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models
Diego Marcos
Michele Volpi
B. Kellenberger
D. Tuia
125
237
0
16 Mar 2018
Studying Invariances of Trained Convolutional Neural Networks
Studying Invariances of Trained Convolutional Neural Networks
Charlotte Bunne
Lukas Rahmann
Thomas Wolf
15
11
0
15 Mar 2018
Rotation-Sensitive Regression for Oriented Scene Text Detection
Rotation-Sensitive Regression for Oriented Scene Text Detection
Minghui Liao
Zhen Zhu
Baoguang Shi
Gui-Song Xia
X. Bai
83
452
0
14 Mar 2018
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
Kaidi Cao
Yu Rong
Cheng Li
Xiaoou Tang
Chen Change Loy
CVBM
96
157
0
02 Mar 2018
Disentangling by Factorising
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGeOOD
160
1,357
0
16 Feb 2018
Quantifying Translation-Invariance in Convolutional Neural Networks
Quantifying Translation-Invariance in Convolutional Neural Networks
Eric Kauderer-Abrams
70
113
0
10 Dec 2017
Object Classification using Ensemble of Local and Deep Features
Object Classification using Ensemble of Local and Deep Features
Siddharth Srivastava
Prerana Mukherjee
Brejesh Lall
Kamlesh Jaiswal
52
7
0
04 Dec 2017
Geometric robustness of deep networks: analysis and improvement
Geometric robustness of deep networks: analysis and improvement
Can Kanbak
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
OODAAML
129
131
0
24 Nov 2017
Context Augmentation for Convolutional Neural Networks
Context Augmentation for Convolutional Neural Networks
Aysegül Dündar
Ignacio Garcia Dorado
34
5
0
22 Nov 2017
Learning SO(3) Equivariant Representations with Spherical CNNs
Learning SO(3) Equivariant Representations with Spherical CNNs
Carlos Esteves
Christine Allen-Blanchette
A. Makadia
Kostas Daniilidis
165
515
0
17 Nov 2017
Parametrizing filters of a CNN with a GAN
Parametrizing filters of a CNN with a GAN
Yannic Kilcher
Gary Bécigneul
Thomas Hofmann
GAN
15
2
0
31 Oct 2017
Interpretable Transformations with Encoder-Decoder Networks
Interpretable Transformations with Encoder-Decoder Networks
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
DRL
69
101
0
19 Oct 2017
Neural network an1alysis of sleep stages enables efficient diagnosis of
  narcolepsy
Neural network an1alysis of sleep stages enables efficient diagnosis of narcolepsy
Jens B. Stephansen
A. N. Olesen
Mads Olsen
A. Ambati
E. Leary
...
C. Kushida
P. Peppard
H. Sørensen
P. Jennum
Emmanuel Mignot
107
231
0
05 Oct 2017
Strengths and Weaknesses of Deep Learning Models for Face Recognition
  Against Image Degradations
Strengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations
Klemen Grm
Vitomir Štruc
Anais Artiges
Matthieu Caron
H. K. Ekenel
CVBM
77
196
0
04 Oct 2017
Polar Transformer Networks
Polar Transformer Networks
Carlos Esteves
Christine Allen-Blanchette
Xiaowei Zhou
Kostas Daniilidis
ViT
113
187
0
06 Sep 2017
Representation Learning by Learning to Count
Representation Learning by Learning to Count
M. Noroozi
Hamed Pirsiavash
Paolo Favaro
SSL
100
369
0
22 Aug 2017
Improving Robustness of Feature Representations to Image Deformations
  using Powered Convolution in CNNs
Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs
Zhun Sun
Mete Ozay
Takayuki Okatani
28
3
0
25 Jul 2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600
  Papers Survey
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
Hirokatsu Kataoka
Soma Shirakabe
Yun He
S. Ueta
Teppei Suzuki
...
Ryousuke Takasawa
Masataka Fuchida
Yudai Miyashita
Kazushige Okayasu
Yuta Matsuzaki
86
1
0
20 Jul 2017
Image Projective Invariants
Image Projective Invariants
Erbo Li
Hanlin Mo
Dong Xu
Hua Li
49
22
0
19 Jul 2017
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning
  Dynamics and Interpretability
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability
M. Raghu
Justin Gilmer
J. Yosinski
Jascha Narain Sohl-Dickstein
DRL
84
31
0
19 Jun 2017
DeepCorrect: Correcting DNN models against Image Distortions
DeepCorrect: Correcting DNN models against Image Distortions
Tejas S. Borkar
Lina Karam
131
93
0
05 May 2017
Quality Resilient Deep Neural Networks
Quality Resilient Deep Neural Networks
Samuel F. Dodge
Lina Karam
OOD
70
46
0
23 Mar 2017
On the effect of pooling on the geometry of representations
On the effect of pooling on the geometry of representations
Gary Bécigneul
51
2
0
20 Mar 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
239
5,368
0
17 Mar 2017
Discriminate-and-Rectify Encoders: Learning from Image Transformation
  Sets
Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets
Andrea Tacchetti
S. Voinea
Georgios Evangelopoulos
32
1
0
14 Mar 2017
Building a Regular Decision Boundary with Deep Networks
Building a Regular Decision Boundary with Deep Networks
Edouard Oyallon
46
29
0
06 Mar 2017
RGB-D Salient Object Detection Based on Discriminative Cross-modal Transfer Learning
Hao Chen
Yangfu Li
Jane Polak Scowcroft
37
1
0
01 Mar 2017
Equivariance Through Parameter-Sharing
Equivariance Through Parameter-Sharing
Siamak Ravanbakhsh
J. Schneider
Barnabás Póczós
120
258
0
27 Feb 2017
Visual Saliency Prediction Using a Mixture of Deep Neural Networks
Visual Saliency Prediction Using a Mixture of Deep Neural Networks
Samuel F. Dodge
Lina Karam
FAtt
108
48
0
01 Feb 2017
Universal representations:The missing link between faces, text,
  planktons, and cat breeds
Universal representations:The missing link between faces, text, planktons, and cat breeds
Hakan Bilen
Andrea Vedaldi
82
147
0
25 Jan 2017
Unknowable Manipulators: Social Network Curator Algorithms
Unknowable Manipulators: Social Network Curator Algorithms
Samuel Albanie
H. Deng
Congming Shi
26
8
0
17 Jan 2017
Rotation equivariant vector field networks
Rotation equivariant vector field networks
Diego Marcos
Michele Volpi
N. Komodakis
D. Tuia
87
270
0
29 Dec 2016
Steerable CNNs
Steerable CNNs
Taco S. Cohen
Max Welling
BDL
147
499
0
27 Dec 2016
Harmonic Networks: Deep Translation and Rotation Equivariance
Harmonic Networks: Deep Translation and Rotation Equivariance
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
136
711
0
14 Dec 2016
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of
  Convolutional Neural Networks Approaches
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches
E. Rodner
Marcel Simon
Robert B. Fisher
Joachim Denzler
73
40
0
21 Oct 2016
Generalization Error of Invariant Classifiers
Generalization Error of Invariant Classifiers
Jure Sokolić
Raja Giryes
Guillermo Sapiro
M. Rodrigues
76
78
0
14 Oct 2016
Every Filter Extracts A Specific Texture In Convolutional Neural
  Networks
Every Filter Extracts A Specific Texture In Convolutional Neural Networks
Zhiqiang Xia
Ce Zhu
Z. Wang
Qi Guo
Yipeng Liu
FAtt
44
2
0
15 Aug 2016
Do semantic parts emerge in Convolutional Neural Networks?
Do semantic parts emerge in Convolutional Neural Networks?
Abel Gonzalez-Garcia
Davide Modolo
V. Ferrari
207
113
0
13 Jul 2016
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